Book Image

Mastering Social Media Mining with R

Book Image

Mastering Social Media Mining with R

Overview of this book

With an increase in the number of users on the web, the content generated has increased substantially, bringing in the need to gain insights into the untapped gold mine that is social media data. For computational statistics, R has an advantage over other languages in providing readily-available data extraction and transformation packages, making it easier to carry out your ETL tasks. Along with this, its data visualization packages help users get a better understanding of the underlying data distributions while its range of "standard" statistical packages simplify analysis of the data. This book will teach you how powerful business cases are solved by applying machine learning techniques on social media data. You will learn about important and recent developments in the field of social media, along with a few advanced topics such as Open Authorization (OAuth). Through practical examples, you will access data from R using APIs of various social media sites such as Twitter, Facebook, Instagram, GitHub, Foursquare, LinkedIn, Blogger, and other networks. We will provide you with detailed explanations on the implementation of various use cases using R programming. With this handy guide, you will be ready to embark on your journey as an independent social media analyst.
Table of Contents (13 chapters)
Mastering Social Media Mining with R
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Installation and authentication of the instaR package


The R package instaR is authored and maintained by Pablo Barbera and it helps R users to access the Instagram API through R. This package provides a series of functions to access information from Instagram.

We can install the latest instaR package directly from the GitHub repository using the following code and load the package into R using the library function. The package devtools is required in order to install directly from GitHub:

library(devtools)
install_github("pablobarbera/instaR/instaR")
library(instaR)

After installing the required package for enabling the access to the Instagram API, we will proceed to make the authentication process from R. In the following code, the variable app_id holds the actual Client ID of your app and the variable app_secret holds the Client Secret. Using the function instaOAuth, we generate the access token that makes it possible to make an authenticated call to the Instagram API. The token can be saved...